Intelligent Fault Diagnosis in Lead-zinc Smelting Process

被引：0
|
作者：
Wei-Hua Gui Chun-Hua Yang Jing Teng School of Information Science & Engineering
机构：
来源：
Machine Intelligence Research | 2007年 / 02期
关键词：
Fault diagnosis; fuzzy logic; expert system; neural network; inference;
D O I：
暂无
中图分类号：
TP391.9 [计算机仿真];
学科分类号：
080203 ;
摘要：
According to the fault characteristic of the imperial smelting process (ISP), a novel intelligent integrated fault diagnostic system is developed. In the system fuzzy neural networks are utilized to extract fault symptom and expert system is employed for effective fault diagnosis of the process. Furthermore, fuzzy abductive inference is introduced to diagnose multiple faults. Feasibility of the proposed system is demonstrated through a pilot plant case study.
引用
收藏
页码：135 / 140
页数：6
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